Senior Data Engineer

The Senior Data Engineer will design, enhance, and support data infrastructure and Business Intelligence capabilities. In this onsite role in Miami, FL, you will convert raw data into useful insights through data pipelines, automated reporting, and interactive dashboards using Snowflake and modern data technologies.

Key Responsibilities

• Design, develop, and optimize data pipelines using Snowflake, supporting efficient ETL and ELT workflows and following data warehouse best practices
• Implement and maintain scalable data models and transformations using dbt (Data Build tool) with Snowflake
• Create and maintain complex SQL queries, stored procedures, and user-defined functions in Snowflake
• Develop reports, dashboards, and analytics solutions using Snowflake and compatible BI tools
• Work with data architects, DBAs, and other stakeholders to support reliable, scalable, and maintainable data solutions
• Identify and remediate data quality issues to improve data integrity across systems
• Document data processes, architectures, and code to enable knowledge transfer and ongoing maintainability
• Mentor junior team members and provide technical guidance on Snowflake best practices
• Perform other duties as assigned and modified at manager’s discretion

Required Qualifications

• Advanced-level business acuity
• In-depth knowledge and understanding of core job-related functions, practices, processes, procedures, techniques, and methods
• Extensive Snowflake experience, including data modeling, performance tuning, and security features
• Strong proficiency in SQL and experience with Python or other programming languages
• Expertise in data warehouse concepts and modern data architectures
• Experience with cloud platforms: AWS, Azure, or GCP, and data integration tools
• Familiarity with BI tools compatible with Snowflake, such as Tableau, Power BI, or Looker
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills and ability to collaborate with technical and non-technical stakeholders
• Advanced skills in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook), with competence in other systems as required
• Ability and willingness to travel locally, regionally, and/or nationally up to 10% and to work evenings, weekends, and/or holidays as needed
• Spoken and written English fluency
• Demonstrated ability to use and exercise independent judgment

Education and Experience Criteria

• BA/BS degree in Computer Science, Data Engineering, or related field; Master’s degree preferred, or additional experience above the minimum may be considered in lieu of required education on a year-for-year basis
• Minimum of 5 years of work experience in data engineering or related roles required
• Experience with real-time data streaming and processing
• Knowledge of machine learning concepts and associated data requirements
• Familiarity with data governance and security best practices
• Experience in the healthcare or finance industry

Technologies

• Snowflake
• ETL, ELT
• dbt (Data Build tool)
• SQL
• Python
• stored procedures, user-defined functions
• AWS, Azure, GCP
• Tableau, Power BI, Looker
• Microsoft Office Suite (Excel, Word, PowerPoint, Outlook)

Compensation and Pay Range

• $99,369 - $141,957 salary (annual)
• Final compensation will depend on experience, education, geographic location, and other relevant factors
• This position may also be eligible for bonuses or commissions

Benefits

For employee benefits details, review: https://chenmed.makeityoursource.com/helpful-documents